Coughlin et al. (A-9) examined the breast and cervical screening practices of Hispanic and non- Hispanic women in counties that approximate the U.S. southern border region. The study used data from the Behavioral Risk Factor Surveillance System surveys of adults age 18 years or older conducted in 1999 and 2000. The table below reports the number of observations of Hispanic and non-Hispanic women who had received a mammogram in the past 2 years cross-classified with marital status. (b) Objective probability (d) Classical probability (f) Mutually exclusive events (h) Marginal probability (j) Conditional probability (l) The multiplication rule (n) False positive (p) Sensitivity (r) Predictive value positive (t) Bayes’s theorem 86 CHAPTER 3 SOME BASIC PROBABILITY CONCEPTS Marital Status Currently Married Divorced or Separated Widowed 88 Never Married or Living As 41 an Unmarried Couple Total 578 Hispanic Non-Hispanic Total 738 1057 329 459 402 490 95 136 1564 2142 319 130 4. Source: Steven S. Coughlin, Robert J. Uhler, Thomas Richards, and Katherine M. Wilson, “Breast and Cervical Cancer Screening Practices Among Hispanic and Non-Hispanic Women Residing Near the United States–Mexico Border, 1999–2000,” Family and Community Health, 26 (2003), 130–139. (d) We select at random a subject who had a mammogram. What is the probability that she is Hispanic or she is widowed? (e) We select at random a subject who had a mammogram. What is the probability that she is not married?

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Coughlin et al. (A-9) examined the breast and cervical screening practices of Hispanic and non- Hispanic women in counties that approximate the U.S. southern border region. The study used data from the Behavioral Risk Factor Surveillance System surveys of adults age 18 years or older conducted in 1999 and 2000. The table below reports the number of observations of Hispanic and non-Hispanic women who had received a mammogram in the past 2 years cross-classified with marital status.

(b) Objective probability (d) Classical probability

(f) Mutually exclusive events (h) Marginal probability

(j) Conditional probability

(l) The multiplication rule (n) False positive
(p) Sensitivity
(r) Predictive value positive

(t) Bayes’s theorem

86 CHAPTER 3

SOME BASIC PROBABILITY CONCEPTS

Marital Status

Currently Married
Divorced or Separated
Widowed 88 Never Married or Living As 41 an Unmarried Couple

Total 578

Hispanic

Non-Hispanic Total

738 1057 329 459 402 490

95 136

1564 2142

319 130

4.

Source: Steven S. Coughlin, Robert J. Uhler, Thomas Richards, and Katherine M. Wilson, “Breast and Cervical Cancer Screening Practices Among Hispanic and Non-Hispanic Women Residing Near the United States–Mexico Border, 1999–2000,” Family and Community Health, 26 (2003), 130–139.

(d) We select at random a subject who had a mammogram. What is the probability that she is Hispanic or she is widowed?

(e) We select at random a subject who had a mammogram. What is the probability that she is not married?

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